I am a researcher at the CYENS Center of Excellence in Nicosia, contributing to the SuPerWorld Multidisciplinary Research Group. I’m also a PhD candidate at the Cyprus University of Technology, focusing on Remote Sensing, Deep Learning, and Pervasive Computing for wildlife monitoring. As a co-founder and Satellite Data Expert at PERIOPSIS Ltd., I work with satellite imagery, geospatial analytics, and AI to deliver scalable solutions for environmental observation and biodiversity conservation.
2022 - Present
As a co-founder and Satellite Data Expert at PERIOPSIS Ltd., I focus on the acquisition and analysis of satellite data, employing advanced computer vision and deep learning techniques to detect points of interest and extract meaningful insights. This work enhances our understanding of environmental dynamics and supports the development of informed strategies for sustainable management. My commitment to leveraging technology for environmental benefit aligns with our mission to establish ourselves in Europe as an innovative company using emerging IT technologies—such as satellite imagery, AI, machine and deep learning, and IoT—for large-scale environmental observation and modeling.
2022 - Pursuing
My current PhD research is centered around leveraging Remote Sensing, Deep Learning, and Pervasive Computing to develop innovative solutions for Biodiversity Monitoring and promote sustainabili
July 2020 - Present
As a researcher in the SuPerWorld Multidisciplinary Research Group at the CYENS Center of Excellence, I specialize in applying deep learning and computer vision techniques to remote sensing images. My work focuses on leveraging satellite and aerial imagery for biodiversity monitoring and promoting sustainability. The SuPerWorld group integrates pervasive computing to enhance the real world—encompassing humans, animals, plants, and the physical and urban environment—by using IoT and WoT protocols for high interoperability and comprehensive real-world data measurement.
2019 - 2020
To develop a Deep learning-based people counting algorithm using Terabee 3D camera (Depth Camera) on embedded hardware and compare the result with existing Computer Vision-based people counting algorithm.
2018 - 2020
Master of Science in Embedding Systems.
2014 - 2018
Installation, Testing and Commissioning of Electrical systems
2010 - 2014
Bachelor of Engineering in Electrical and Electronics Engineering.
CYENS Center of Excellence
Nicosia, Cyprus
chirag.padubidri@gmail.com
c.padubidri@cyens.org.cy
Phone: (+357) 22 747575